Application of knowledge for automated land cover change monitoring
Author:
Affiliation:
1. a Macaulay Institute , Craigiebuckler, Aberdeen AB15 8QH, UK
2. b Department of Computing Science , University of Aberdeen , Aberdeen AB24 3UE, UK
Publisher
Informa UK Limited
Subject
General Earth and Planetary Sciences
Link
https://www.tandfonline.com/doi/pdf/10.1080/01431160310001657795
Reference30 articles.
1. Advances in classification for land cover mapping using SPOT HRV imagery
2. An unsupervised approach to the classification of semi-natural vegetation from Landsat Thematic Mapper data. A pilot study on Islay
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4. Birnie R. V 1996 Methodologies for detecting national land cover changes (Scotland) Proceedings of a Technical Workshop, 9–11 July, 1996, Macaulay Land Use Research Institute, Aberdeen, UK
5. Comber A. J 2002 Automated land cover change detection PhD thesis, Aberdeen University
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